id stringclasses 6
values | prompt stringclasses 6
values | gold_json stringclasses 5
values | reference_notes stringclasses 6
values | __index_level_0__ stringclasses 6
values |
|---|---|---|---|---|
Quad protocol deviation analysis. Phase III oncology trial. Site cluster shows deviation rate 14% vs network 5%. Staffing coverage reduced due to leave. Training refresh overdue by 6 months. Governance: sponsor compliance review in 2 weeks. Determine deviation cluster risk and action. Return strict JSON only. | {"deviation_cluster_risk":true,"risk_type":"staffing_and_training_gap","driver_nodes":["high deviation rate cluster","reduced staffing coverage","overdue training refresh","imminent compliance review"],"recommended_action":"training_and_staffing_intervention","action_detail":["deploy temporary staff support","conduct u... | confidence":0.88} | Staffing-training link. | PD-001 |
Quad protocol deviation analysis. Cardiology device trial. Deviation reports drop to zero over 4 weeks. Monitoring visit delayed. New staff onboarded without full protocol training. Governance: milestone payment tied to clean compliance. Determine risk and action. JSON only. | {"deviation_cluster_risk":true,"risk_type":"underreporting_due_to_incentive","driver_nodes":["zero deviation reporting","monitoring delay","incomplete staff training","milestone incentive pressure"],"recommended_action":"deviation_reporting_audit","action_detail":["audit source data for missed deviations","complete sta... | confidence":0.86} | Zero deviation signal. | PD-002 |
Quad protocol deviation analysis. Neurology trial. Fast-enrolling sites show higher dosing deviations. Staff workload exceeds targets. Training materials updated but not disseminated. Governance: DSMB safety review upcoming. Determine risk and action. JSON only. | {"deviation_cluster_risk":true,"risk_type":"workload_induced_error","driver_nodes":["dosing deviation cluster","excess staff workload","undisseminated training updates","imminent DSMB review"],"recommended_action":"workload_and_training_correction","action_detail":["redistribute workload","deliver updated training","re... | confidence":0.85} | Workload node. | PD-003 |
Quad protocol deviation analysis. Pulmonary trial. Visit schedule deviations rise at rural sites. Travel support reduced. Monitoring remote only. Governance: regulatory inspection possible. Determine risk and action. JSON only. | {"deviation_cluster_risk":true,"risk_type":"logistical_support_gap","driver_nodes":["visit deviation increase","reduced travel support","remote-only monitoring","inspection risk"],"recommended_action":"logistics_and_monitoring_restore","action_detail":["reinstate travel support","schedule targeted site visits","review ... | confidence":0.84} | Logistics node. | PD-004 |
Quad protocol deviation analysis. Metabolic trial. Conmed documentation deviations cluster at two sites. Staff turnover reported. Training logs incomplete. Governance: interim analysis approaching. Determine risk and action. JSON only. | {"deviation_cluster_risk":true,"risk_type":"turnover_documentation_gap","driver_nodes":["conmed deviation cluster","staff turnover","incomplete training logs","imminent interim analysis"],"recommended_action":"documentation_training_repair","action_detail":["update training logs","retrain staff","audit conmed entries",... | confidence":0.87} | Turnover node. | PD-005 |
Quad protocol deviation analysis. Vaccine trial. Deviation rates stable but severity increases. Monitoring reports late. Refresher training delayed. Governance: regulator review scheduled. Determine risk and action. JSON only. | {"deviation_cluster_risk":true,"risk_type":"severity_shift_due_to_training_lag","driver_nodes":["higher deviation severity","late monitoring reports","training delay","regulator review"],"recommended_action":"severity_audit_and_training","action_detail":["audit severe deviations","deliver refresher training","clear mon... | confidence":0.86} | Severity node. | PD-006 |
Clarus Clinical Quad Coupling Protocol Deviation Cluster Staffing Load Training Gap Governance Pressure v0.1
What this dataset is
This dataset tests whether a model can detect clustered protocol deviations caused by four interacting nodes.
Quad coupling nodes
- Deviation rate or severity cluster
- Staffing or workload pressure
- Training gap or outdated materials
- Governance or compliance review pressure
Input
- One vignette
Output
Return strict JSON only.
Required output JSON keys
- deviation_cluster_risk
- risk_type
- driver_nodes
- recommended_action
- action_detail
- rationale
- confidence
Files
- data/train.csv
- data/test.csv
- scorer.py
Scoring
- Required key presence
- Risk classification
- Risk type match
- Driver node overlap
- Recommended action match
- Action detail completeness
- Rationale length
- Confidence within 0 to 1
Run scoring
Create JSONL
{"id":"PD-T01","output":"{...your json...}"}
Run
python scorer.py --gold_csv data/test.csv --preds_jsonl your_outputs.jsonl
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